Relationship among Guidance and Counselling Intervention, Artificial Intelligent and Academic Performance of Senior Secondary School Students in Sokoto Metropolis
Abubakar Naabu
Department of Guidance and Counseling, Faculty of Education and Extension Services. Shehu Shagari University of Education Sokoto. Sokoto State, Nigeria Email: abubakarnaabu2@gmail.com
Abstract
This research investigated the relationships among guidance and counselling intervention, Artificial Intelligent and academic performance of senior secondary school students in Sokoto metropolis. Correlational Survey Design employed for this study. The total population for this study was11,830. Six secondary schools were purposively selected and participated in this study. 381students served as the sample for this research. 3 null hypotheses were generated and tested. The instruments used in this study were three sets of questionnaires. Students' artificial intelligent, Guidance and counselling rating scale and self-designed academic achievement tests in Chemistry and English. Pearson Product Moment Correlation Coefficient statistical analysis tool was used to test the three null hypotheses. The three null hypotheses were tested and rejected at an alpha level of 0.05. The major findings of this study are there are significant relationship between Guidance and Counselling intervention and Artificial intelligent and students’ academic performance. It was concluded that Guidance and counselling intervention have positive relationship with the variables studied. Recommendations were forwarded amongst which is that since Guidance and counselling intervention have significant relationship with student’s artificial intelligent and students’ academic performance, the Sokoto state government should employ^ a qualified counsellors and post one or two of such to each secondary schools in the state.
Keywords
Guidance and counselling intervention, Artificial intelligent, Academic performance
Reference
Aguolu, I. B. (2019). Technological infrastructure and its impact on teaching and learning in Nigerian schools. Nigerian Journal of Educational Technology, 4(1), 54-67.
Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI Ethics, 2(4), 431–440. https://doi.org/10.1007/s43681-022-00072-3
Ali, B. A (2002). The effect of Guidance services on students’ academic performance. Unpublished M.ed Thesis, ABU Zaria, Kaduna state. Nigeria (pp. 42- 49)
Baker, R. S., & Siemens, G. (2014). Educational data mining. In R. S. Baker & G. Siemens (Eds.), Educational data mining: Applications and methods (pp. 1-15).
Chittibabu, P. (2020) PyCharm IDEA Handbook of Python Programming; Dr. M.G.R. University: Chennai, India,
Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuit: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227-268.
Ersoy, F.Y. (2020) The effects of the great recession on college majors. Econ. Educ. Rev.77, 102.
Gysbers, N. C., & Henderson, P. (2012). Comprehensive guidance and counselling programs: A framework for school counsellors. American School Counselor Association 201-209.
Hattie, J. (2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge 123 – 132.
Hammoudi Halat, D.; Soltani, A.; Dalli, R.; Alsarraj, L.; Malki, (2022) A. Understanding and Fostering Mental Health and Well-Being among University Faculty: A Narrative Review. J. Clin. Med., 12, 4425.
Hinkelman, J.; Luzzo, D. (2007) Mental Health and Career Development of College Students. J. Couns. Dev. 85, 143–147.
Hutchins, R. (2021). Teachers’ attitudes toward artificial intelligence in education: A comparative study. International Journal of Educational Research, 112, 102008.
Kautz, H., Etzioni, O., & Mooney, R. (2021). Artificial Intelligence: A modern approach. 4th edition. Pearson Education.
Kim, J., & Lee, Y. (2015). The effects of AI-based guidance and counselling system on students’ academic achievement and career development. Journal of Educational Computing Research, 53(4), 419-433.
Kim, J.S. (2020) The Effects of Major Selection Motivations on Dropout, Academic Achievement and Major Satisfactions of College Students Majoring in Foodservice and Culinary Arts. Information, 11, 444.
Kolo, F. D (2002). Guidance and Counselling in Perspectives. Zaria: Triumph Printers
Lapan, R. T. (2012). Comprehensive guidance and counselling programs: A review of the literature. Journal of School Counselling, 10(1), 1-25.
Kukulska-Hulme, A. (2020). AI in education: Opportunities and challenges. Educational Media International, 57(3), 203-216.
Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79-122.
Leu, K. (2017) Beginning College Students Who Change Their Majors within 3 Years of Enrollment; NCES: Washington, DC, USA.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson PP 123-129.
Maree, J.G.; Di Fabio, A. (2018) Integrating Personal and Career Counseling to Promote Sustainable Development and Change. Sustainability. 10, 4176.
Paolini, A.C. (2019) School counselors promoting college and career readiness for high school students. J. Sch. Couns. P 17,
Schunk, D. H., & Meece, J. L. (2012). Motivation in education: Theory, research, and applications. Pearson P 15-18.
Sellamy, K.; Fakhri, Y.; Moumen, A. (2022) What Factors Determine the Academic Orientation in Moroccan Higher Education? Sustainability, 15, 6866
Silver, B.R. (2023) Major transitions: How college students interpret the process of changingfo fields of study. High. Educ, 1-16.
Subasinghe, W. (2016), Promoting Personal and Career Counseling for Sustainable Development and Change. Sustainability. 11, 17.
Wang, Y., & Zhang, J. (2020). AI-powered guidance and counselling: A systematic review. Journal of Educational Data Mining, 12(1), 1-23.